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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_8_0 |
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model-index: |
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- name: Fine_Tunning_on_CV_dataset |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Fine_Tunning_on_CV_dataset |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_8_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7892 |
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- Wer: 0.4734 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 6.8618 | 3.25 | 1000 | 3.0765 | 0.9989 | |
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| 1.6825 | 6.49 | 2000 | 0.8932 | 0.6292 | |
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| 0.7813 | 9.74 | 3000 | 0.7750 | 0.5454 | |
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| 0.5859 | 12.99 | 4000 | 0.7413 | 0.5151 | |
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| 0.472 | 16.23 | 5000 | 0.7559 | 0.4952 | |
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| 0.404 | 19.48 | 6000 | 0.7677 | 0.4915 | |
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| 0.3637 | 22.73 | 7000 | 0.7788 | 0.4863 | |
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| 0.3238 | 25.97 | 8000 | 0.7920 | 0.4738 | |
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| 0.3038 | 29.22 | 9000 | 0.7892 | 0.4734 | |
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### Framework versions |
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- Transformers 4.21.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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